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61.发明公开公开(公告)号：US20240073065A1
公开(公告)日：2024-02-29
申请号：US18454851
申请日：2023-08-24
Applicant: Wuhan University
Inventor： Liang CHEN , Zhaoliang LIU , Ruizhi CHEN
CPC classification number: H04L25/0254 , H04L5/023
Abstract: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.
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公开(公告)号：US20240048411A1
公开(公告)日：2024-02-08
申请号：US18363016
申请日：2023-08-01
Inventor： Marius Arvinte , Jonathan I. Tamir
IPC: H04L25/02
CPC classification number: H04L25/0224 , H04L25/0254
Abstract: A system for processing data, comprising a scoring system operating on a processor and configured to receive a channel sample and a noise sample and to generate a channel estimate and a sampling system operating on the processor and configured to receive a pilot channel sample and the channel estimate and to iteratively modify the channel estimate until a predetermined error rate is achieved.
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公开(公告)号：US20240015052A1
公开(公告)日：2024-01-11
申请号：US18257881
申请日：2021-12-10
Applicant: SONY GROUP CORPORATION
Inventor： HIROMASA UCHIYAMA , SHINICHIRO TSUDA
CPC classification number: H04L25/0254 , H04W28/20
Abstract: [Problem] To provide an information processing device and the like for causing an application that executes calculation based on a DNN to comfortably operate in a communication environment by using distributed learning.
[Solution] One information processing device according to the present disclosure receives information regarding resources of a communication network that relays communication between a communication terminal that transits an input to a deep neural network or is in charge of at least a part of a series of calculation of the deep neural network and transmits a result of the calculation and a server that is able to be in charge of at least a part of the series of calculation, and determines an entity to which the series of calculation is assigned from among the communication terminal, the server, and the communication node in the communication network on the basis of the information regarding the resources.-
公开(公告)号：US20240012087A1
公开(公告)日：2024-01-11
申请号：US18279635
申请日：2022-03-04
Applicant: IOT HOLDINGS, INC.
Inventor： Philip PIETRASKI , Sudhir PATTAR , Paul RUSSELL , Miranda PIETRASKI
CPC classification number: G01S5/0252 , H04L25/0254 , H04L25/0212
Abstract: Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to data augmentation of radio frequency (RF) data for improved RF fingerprinting are provided. Among the methods is method that may include any of obtaining one or more samples by sampling a radio frequency (RF) signal received at a receiver from a transmitter; determining one or more channel characteristics of a channel between the receiver and the transmitter; and performing RF fingerprinting based at least in part on (i) inputting the samples and the channel characteristics as inputs to a neural network formed using a trained neural network model, and (ii) obtaining a predicted value output from the neural network.
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公开(公告)号：US20230403182A1
公开(公告)日：2023-12-14
申请号：US18033836
申请日：2021-09-21
Applicant: Nokia Solutions and Networks Oy
IPC: H04L25/02 , H04L5/00 , H04B7/0413
CPC classification number: H04L25/0224 , H04L5/0048 , H04L25/0254 , H04B7/0413
Abstract: According to an example embodiment, a radio receiver is configured to: obtain a data array including a plurality of elements, wherein each element in the plurality of elements in the data array corresponds to a sub-carrier in a plurality of subcarriers, to a timeslot in a time interval, and to an antenna stream; implement a machine learning model including at least one neural network and a transformation, wherein the transformation includes at least one multiplicative layer or equalisation; and input data into the machine learning model, wherein the data includes at least the data array; wherein the machine learning model is configured to, based on the data, output an output array representing values of the plurality of elements in the data array, wherein the values include bits or symbols. A radio receiver, a method and a computer program product are disclosed.
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Patent Agency Ranking
66.发明公开公开(公告)号：US20230388153A1
公开(公告)日：2023-11-30
申请号：US18322756
申请日：2023-05-24
Applicant: u-blox AG
Inventor： Farshid Rezaei , Matthias Mahlig , Peter Karlsson , Stelios Papaharalabos , Timon Merk
IPC: H04L25/02
CPC classification number: H04L25/021 , H04L25/0254 , H04L25/0224
Abstract: An example method for providing at least one estimated parameter of a wireless communication channel includes receiving at least one sample of raw data via the wireless communication channel, processing the at least one sample using a machine learning inference algorithm and therefrom providing a first estimated value, processing the at least one sample using a signal processing algorithm and therefrom providing a second estimated value, acquiring a first confidence value for the first estimated value, acquiring a second confidence value for the second estimated value, evaluating the first confidence value and the second confidence value, and providing either the first estimated value or the second estimated value or a combination of the first and the second estimated value as the at least one estimated parameter based on the evaluation.
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公开(公告)号：US20230344679A1
公开(公告)日：2023-10-26
申请号：US18300539
申请日：2023-04-14
Applicant: Nokia Solutions and Networks Oy
Inventor： Axel VAN DAMME , Nicolas DUPUIS , Philippe DIERICKX , Olivier DELABY
IPC: H04L25/02
CPC classification number: H04L25/022 , H04L25/0254
Abstract: An apparatus, method and computer program is described comprising: obtaining channel response data comprising a first channel frequency response of a channel over a first frequency spectrum, where the first channel frequency response is generated in response to a transmission over the channel or a simulation thereof; and generating an estimate of a second channel frequency response of the channel over a second frequency spectrum in response to applying the channel response data to a machine-learning model, where the second frequency spectrum is different to the first frequency spectrum.
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公开(公告)号：US20230342590A1
公开(公告)日：2023-10-26
申请号：US18139126
申请日：2023-04-25
Applicant: DeepSig Inc.
Inventor： Timothy James O'Shea , Johnathan Corgan , Nitin Nair , Nathan West , James Shea , Timothy Newman
CPC classification number: G06N3/045 , G06N3/08 , H04L25/0254 , H04L27/2649
Abstract: A method includes obtaining samples of radio-frequency (RF) uplink data signals received wirelessly at a radio unit of a radio access network, the RF uplink data signals including a first RF uplink data signal received from a user device; providing the samples of the RF uplink data signals as input to at least one machine learning model; in response to providing the samples of the RF uplink data signals as input to the at least one machine learning model, obtaining based on an output of the at least one machine learning model, recovered data of the RF uplink data signals; and sending the recovered data of the RF uplink signals to a destination device.
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公开(公告)号：US11784685B2
公开(公告)日：2023-10-10
申请号：US17807306
申请日：2022-06-16
Applicant: SHANGHAI JIAOTONG UNIVERSITY
Inventor： Chong Han , Yuhang Chen , Longfei Yan
IPC: H04B7/0452 , H04B7/0426 , H04L25/02
CPC classification number: H04B7/0452 , H04B7/043 , H04L25/0254
Abstract: A THz UM-MIMO channel estimation method based on the DCNN comprises the steps: the hybrid spherical and planar-wave modeling (HSPM), by taking a sub-array in the antenna array as a unit, employing the PWM within the sub-array, and employing the SWM among the sub-arrays; estimating the channel parameters between the reference sub-arrays at Tx and Rx through a DCNN, including the angles of departure and arrival, the propagation distance and the path gain; deducing the channel parameters between the reference sub-array and other sub-arrays by utilizing the obtained channel parameters and the geometrical relationships among sub-arrays, and recovering the channel matrix; wherein accurate three-dimensional channel modeling is achieved by the HSPM, which possesses high modeling accuracy and low complexity.
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公开(公告)号：US20230318881A1
公开(公告)日：2023-10-05
申请号：US17658025
申请日：2022-04-05
Applicant: QUALCOMM Incorporated
Inventor： Hamed PEZESHKI , Taesang YOO , Tao LUO , Mahmoud TAHERZADEH BOROUJENI
IPC: H04L25/02 , H04B7/0456 , H04B7/06
CPC classification number: H04L25/0254 , H04L25/0242 , H04B7/0456 , H04B7/0617
Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive, from a second network node, codebook information that indicates a plurality of beams associated with an oversampled transmitter network node beamforming codebook. The first network node may transmit a beam selection report that indicates at least one suggested transmission beam associated with the oversampled transmitter network node beamforming codebook, wherein the beam selection report is based at least in part on a channel estimate that is obtained without obtaining beam measurements associated with beams that are associated with the oversampled transmitter network node beamforming codebook. Numerous other aspects are described.
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